Damiano Oldoni is a research software developer with eight years of experience blending physics, psychoacoustics and data science to build computational tools for environmental monitoring. With a PhD from Ghent University on auditory-inspired soundscape analysis, he applies machine learning and algorithmic thinking to real-world research at the Research Institute for Nature and Forest (INBO). He also teaches programming to university students and has hands-on experience as a secondary-school STEM teacher, which sharpens his ability to communicate complex concepts clearly. Outside research he pursues photography and piano, disciplines that inform his aesthetic sensitivity and attention to detail in data and code. Based in Ghent, he brings a rare mix of experimental rigor, discrete-math amusement and practical software development to interdisciplinary projects. An amateur cyclist who pushes limits, he also channels that persistence into long-running research and teaching commitments.
8 years of coding experience
Doctor of Philosophy (PhD), Ingenieurswetenschappen, Doctor of Philosophy (PhD), Ingenieurswetenschappen at Universiteit Gent
Fotografie, Fotografie at Sint-Lucas Academie-Gent
Master's degree, Physics, Master's degree, Physics at Università di Pisa
R package with functionality for TrIAS and LIFE RIPARIAS
Contributions:12 releases, 34 reviews, 700 commits in 4 years 10 months
r-packagerstatslifeoscibioinvasive-species
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Damiano Oldoni - Research Software Developer at Ghent University